| Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning W Jeong, J Yoon, E Yang, SJ Hwang ICLR 2021, 2021 | 235 | 2021 |
| Federated Continual Learning with Weighted Inter-client Transfer J Yoon*, W Jeong*, G Lee, E Yang, SJ Hwang ICML 2021, arXiv: 2003.03196, 2020 | 191 | 2020 |
| Personalized Subgraph Federated Learning J Baek, W Jeong, J Jin, J Yoon, SJ Hwang International Conference on Machine Learning 2023 (ICML 2023), 2022 | 53 | 2022 |
| Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching W Jeong, SJ Hwang Advances in Neural Information Processing Systems (NeurIPS 2022), 2022 | 25* | 2022 |
| Bitwidth heterogeneous federated learning with progressive weight dequantization J Yoon, G Park, W Jeong, SJ Hwang International Conference on Machine Learning, 25552-25565, 2022 | 22 | 2022 |
| Task-Adaptive Neural Network Search with Meta-Contrastive Learning W Jeong*, H Lee*, G Park*, E Hyung, J Baek, SJ Hwang NeurIPS 2021 (Spotlight), 2021 | 8 | 2021 |
| Chimbuko: a workflow-level scalable performance trace analysis tool S Ha, W Jeong, G Matyasfalvi, C Xie, K Huck, JY Choi, A Malik, L Tang, ... arXiv preprint arXiv:2008.13742, 2020 | 2 | 2020 |
| Exploratory visual analysis of anomalous runtime behavior in streaming high performance computing applications C Xie, W Jeong, G Matyasfalvi, H Van Dam, K Mueller, S Yoo, W Xu Computational Science–ICCS 2019: 19th International Conference, Faro …, 2019 | 2 | 2019 |
| HiP Attention: Sparse Sub-Quadratic Attention with Hierarchical Attention Pruning H Lee, G Park, Y Lee, J Kim, W Jeong, M Jeon, SJ Hwang arXiv preprint arXiv:2406.09827, 2024 | 1 | 2024 |
| Method and device with federated learning of neural network weights JH Yoon, P Geon, Y Jaehong, SJ Hwang, W Jeong US Patent App. 18/343,073, 2024 | | 2024 |
| Apparatus and method for task-adaptive neural network retrieval based on meta-contrastive learning SJ Hwang, W Jeong, HY Lee, P Geon, EY Hyung US Patent App. 17/731,710, 2022 | | 2022 |
| Task-Adaptive Neural Network Retrieval with Meta-Contrastive Learning. W Jeong, H Lee, G Park, E Hyung, J Baek, SJ Hwang CoRR, 2021 | | 2021 |
Sung Ju HwangKAIST, DeepAutoVerified email at kaist.ac.kr
